Donald Hebb postulated that given a neuron’s spiking behavior, which is exhibited in SNNs, neurons organize into groups (what he called cell assemblies) that encode information ([1]}). Hebb formulated a learning rule that has been boiled down to the phrase "neurons that fire together, wire together.", and is formalized for continuous (rate-encoding) networks as:
\(\delta w_{1,2} = \alpha N_1 N_2\) 
